The Shape COSEG Dataset

News

December 8, 2012: we fixed several problems in the ground-truth of our modeled irons, tele-aliens, and chairs.

Overview

The goal of this work is to provide data for quantitative analysis of how people consistently segment a set of shapes and for evaluation of our active co-analysis algorithm.
To build the dataset, we have collected 11 sets of shapes which possess a consistent ground-truth segmentation and labeling. Among them, seven sets from the dataset of Sidi et al. [2011]. Since we consider the labeling of large sets as one of the main motivations of our work, we created three additional large sets: tele-alines, vases and chairs. These three sets consists of 200, 300, 400 shapes, respetively. We also created a small but challenging
set of irons.